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Intelligent Computing Systems

Overview of attention for book
Cover of 'Intelligent Computing Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Intelligent Computing Systems
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    Chapter 2 Semantic Tools; Their Use for Knowledge Management in the Public Sector
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    Chapter 3 From Game Theory to Complexity, Emergence and Agent-Based Modeling in World Politics
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    Chapter 4 A Semantic Approach for Representing and Querying Business Processes
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    Chapter 5 Using Conversational Knowledge Management as a Lens for Virtual Collaboration in the Course of Small Group Activities
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    Chapter 6 Spatial Environments for m-Learning: Review and Potentials
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    Chapter 7 Science Teachers’ Metaphors of Digital Technologies and Social Media in Pedagogy in Finland and in Greece
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    Chapter 8 Data Driven Monitoring of Energy Systems: Gaussian Process Kernel Machine for Fault Identification with Application to Boiling Water Reactors
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    Chapter 9 A Framework to Assess the Behavior and Performance of a City Towards Energy Optimization
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    Chapter 10 An Energy Management Platform for Smart Microgrids
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    Chapter 11 Transit Journaling and Traffic Sensitive Routing for a Mixed Mode Public Transportation System
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    Chapter 12 Adaptation of Automatic Information Extraction Method for Environmental Heatmaps to U-Matrices of Self Organising Maps
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    Chapter 13 Evolutionary Computing and Genetic Algorithms: Paradigm Applications in 3D Printing Process Optimization
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    Chapter 14 Car-Like Mobile Robot Navigation: A Survey
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    Chapter 15 Computing a Similarity Coefficient for Mining Massive Data Sets
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    Chapter 16 A Probe Guided Crossover Operator for More Efficient Exploration of the Search Space
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Title
Intelligent Computing Systems
Published by
Springer-Verlag Berlin Heidelberg, February 2016
DOI 10.1007/978-3-662-49179-9
ISBNs
978-3-66-249177-5, 978-3-66-249179-9
Authors

Spanogianopoulos, Sotirios, Sirlantzis, Konstantinos

Editors

George A. Tsihrintzis, Maria Virvou, Lakhmi C. Jain

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Unknown 44 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Student > Master 8 18%
Student > Bachelor 6 13%
Student > Doctoral Student 5 11%
Researcher 5 11%
Other 12 27%
Readers by discipline Count As %
Computer Science 17 38%
Engineering 10 22%
Unspecified 6 13%
Energy 3 7%
Agricultural and Biological Sciences 2 4%
Other 7 16%